Decision-making and motion planning are extremely important in autonomous driving to
ensure safe driving in a real-world environment. This study proposes an online evolutionary …

This paper proposes an integrated strategy of planning and control to address the poor
quality of the generated trajectory by intelligent vehicles. The trajectory planner is designed …

Aiming at the lack of adaptability of vehicle parameters under extreme conditions, this paper
proposes an integrated control method for path tracking and lateral stability of distributed …

The achievements of high driving performance and error minimization of autonomous
vehicles (AVs) in harsh weather are the biggest challenges for the society of autonomous …

This study presents a Cooperative Mandatory Platoon Lane Change (CMPLC) strategy for
Connected and Autonomous Vehicles (CAVs) navigating from a Dedicated Lane (DL) to an …

Rapid advancements in automated vehicles (AVs) technology have transformed the
measurability, controllability, and unpredictability of transportation systems. Evaluating …

The trajectory tracking control problem of under-actuated unmanned surface vessels (USVs)
suffering from communication constraints (network delay, packet loss, packet disorder) as …

Intelligent vehicles (IVs) play a pivotal role within the Intelligent Transportation System (ITS),
significantly enhancing transportation efficiency and mitigating the risks of accidents …

Recently, thanks to the introduction of human feedback, Chat Generative Pre-trained
Transformer (ChatGPT) has achieved remarkable success in the language processing field …

Precise path tracking and agilely avoiding obstacles are essential for the stability and safety
of autonomous driving. In this paper, we introduce a uniform safe path tracking control …